cloudpickle
coreforecast>=0.0.12
numba>=0.55.0
numpy>=1.21.6
pandas>=1.3.5
scipy>=1.7.3
statsmodels>=0.13.2
tqdm
fugue>=0.8.1
utilsforecast>=0.1.4
threadpoolctl

[all]
fugue[dask]>=0.8.1
fugue[spark]>=0.8.1
plotly
plotly-resampler
polars[numpy]
black
datasetsforecast
fire
nbdev
nbformat
nbdev_plotly
pandas[plot]
pmdarima
pre-commit
prophet
pyarrow
scikit-learn
setuptools<70
supersmoother
fugue[ray]>=0.8.1
protobuf<4.0.0,>=3.15.3
numpy<2
pandas<2.2
ray<2.8

[dask]
fugue[dask]>=0.8.1

[dev]
black
datasetsforecast
fire
nbdev
nbformat
nbdev_plotly
pandas[plot]
pmdarima
polars[numpy]
pre-commit
prophet
pyarrow
scikit-learn
setuptools<70
supersmoother

[plotly]
plotly
plotly-resampler

[polars]
polars[numpy]

[ray]
fugue[ray]>=0.8.1
protobuf<4.0.0,>=3.15.3
numpy<2
pandas<2.2
ray<2.8

[spark]
fugue[spark]>=0.8.1
